Lightgbm: A highly efficient gradient boosting decision tree G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu
Advances in Neural Information Processing Systems, 3146-3154, 2017
11996 2017 A communication-efficient parallel algorithm for decision tree Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu
Advances in Neural Information Processing Systems 29, 2016
147 2016 Suphx: Mastering mahjong with deep reinforcement learning J Li, S Koyamada, Q Ye, G Liu, C Wang, R Yang, L Zhao, T Qin, TY Liu, ...
arXiv preprint arXiv:2003.13590, 2020
134 2020 Semi-supervised semantic segmentation via adaptive equalization learning H Hu, F Wei, H Hu, Q Ye, J Cui, L Wang
Advances in Neural Information Processing Systems 34, 22106-22118, 2021
123 2021 Asychronous training of machine learning model T Wang, W Chen, TY Liu, F Gao, YE Qiwei
US Patent App. 16/327,679, 2019
70 2019 -SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant SpaceQ Meng, S Zheng, H Zhang, W Chen, ZM Ma, TY Liu
arXiv preprint arXiv:1802.03713, 2018
28 2018 Decentralized circle formation control for fish-like robots in the real-world via reinforcement learning T Zhang, Y Li, S Li, Q Ye, C Wang, G Xie
2021 IEEE International Conference on Robotics and Automation (ICRA), 8814-8820, 2021
17 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks. T Zhang, Q Ye, J Bian, G Xie, TY Liu
IJCAI, 500-506, 2021
13 2021 Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon P Zhang, Z Liu, S Xiao, N Shao, Q Ye, Z Dou
arXiv preprint arXiv:2401.03462, 2024
12 2024 Lightgbm: Light gradient boosting machine G Ke, D Soukhavong, J Lamb, Q Meng, T Finley, T Wang, W Chen, W Ma, ...
R package version 3 (1.99), 2021
11 2021 Beyond exponentially discounted sum: Automatic learning of return function Y Wang, Q Ye, TY Liu
arXiv preprint arXiv:1905.11591, 2019
11 2019 Discriminator contrastive divergence: Semi-amortized generative modeling by exploring energy of the discriminator Y Song, Q Ye, M Xu, TY Liu
arXiv preprint arXiv:2004.01704, 2020
10 2020 Optimizing neural networks in the equivalent class space Q Meng, W Chen, S Zheng, Q Ye, TY Liu
arXiv preprint arXiv:1802.03713, 2018
3 2018 Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness B Zhang, J Gai, Y Du, Q Ye, D He, L Wang
arXiv preprint arXiv:2401.08514, 2024
2 2024 Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer X Lai, Y Liu, R Qian, Y Lin, Q Ye
Entropy 25 (6), 885, 2023
2 2023 DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein D Sun, H Huang, Y Li, X Gong, Q Ye
Advances in Neural Information Processing Systems 36, 2024
1 2024 Extending Llama-3's Context Ten-Fold Overnight P Zhang, N Shao, Z Liu, S Xiao, H Qian, Q Ye, Z Dou
arXiv preprint arXiv:2404.19553, 2024
2024 SGNet: Folding Symmetrical Protein Complex with Deep Learning Z Li, J Yu, Q Ye
arXiv preprint arXiv:2403.04395, 2024
2024 ProteiNexus: Illuminating Protein Pathways through Structural Pre-training J Li, X Chen, H Huang, M Zeng, J Yu, X Gong, Q Ye
2023 3D Molecular Pretraining via Localized Geometric Generation SUN Yuancheng, K Chen, K Liu, Q Ye
2023